mirror of https://github.com/Bunsly/JobSpy
30 lines
944 B
Python
30 lines
944 B
Python
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from jobspy import scrape_jobs
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import pandas as pd
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jobs: pd.DataFrame = scrape_jobs(
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site_name=["indeed", "linkedin", "zip_recruiter", "glassdoor"],
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search_term="software engineer",
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location="Dallas, TX",
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results_wanted=25, # be wary the higher it is, the more likey you'll get blocked (rotating proxy can help tho)
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country_indeed="USA",
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# proxy="http://jobspy:5a4vpWtj8EeJ2hoYzk@ca.smartproxy.com:20001",
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)
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# formatting for pandas
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pd.set_option("display.max_columns", None)
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pd.set_option("display.max_rows", None)
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pd.set_option("display.width", None)
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pd.set_option("display.max_colwidth", 50) # set to 0 to see full job url / desc
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# 1: output to console
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print(jobs)
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# 2: output to .csv
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jobs.to_csv("./jobs.csv", index=False)
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print("outputted to jobs.csv")
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# 3: output to .xlsx
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# jobs.to_xlsx('jobs.xlsx', index=False)
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# 4: display in Jupyter Notebook (1. pip install jupyter 2. jupyter notebook)
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# display(jobs)
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